Sensor Subsets Selection for ASPN Based on Environment Awareness

Chun-Ta Liu, Wei Gao, Shiwei Fan, Ya Zhang, Qingxin Wang, Guangmin Li, Yanyan Wang
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Abstract

This paper studies the sensor subset selection problem in the All-Source Positioning and Navigation (ASPN). Our research is based on the factor graph structure, which realizes the plug-and-play function of sensors. We summary the influence of the environment on sensors, and obtain an environment description method suitable for this problem. Sensor data evaluation is based on the DBSCAN clustering algorithm. Experimental results demonstrate that our approach can realize sensor selection and switching under dynamic conditions.
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基于环境感知的ASPN传感器子集选择
研究了全源定位与导航(ASPN)中传感器子集的选择问题。我们的研究基于因子图结构,实现了传感器的即插即用功能。总结了环境对传感器的影响,得到了一种适合于该问题的环境描述方法。传感器数据评估基于DBSCAN聚类算法。实验结果表明,该方法可以实现动态条件下传感器的选择和切换。
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